3 ms·
So much: - generate AWK to transform text - modify python script to make it multithreaded (when this worked first go I was very mindblown) - explain concepts
by ricklamers 4y ago
So much:
- generate AWK to transform text
- modify python script to make it multithreaded (when this worked first go I was very mindblown)
- explain concepts that I half understand in clear language, eg explain sharpe ratio and show me the math
- “what do people usually call” type questions. Like what are common job titles for people who do X and Y?
- proof read my emails and make suggestions given a stated goal
- settle language/choice of words discussions by asking GPT to reverse pitch understanding, then choosing the one that’s most aligned with the point we’re trying to make
- generally linux-y commands and explanations “best way to remap keys in i3” or find file with content “xyz” with tool faster than find
- namanyayg 4y agoI'm curious what you mean by "reverse pitch understanding" in your second last point, could you elaborate?
- bumbledraven 4y agoI had the same question, and I asked GPT-4: https://pastebin.com/9RxenXMk https://pastebin.com/9RxenXMk The phrase has zero hits on Google, though “reverse pitching” is apparently a thing.
- ricklamers 4y agoI understand it to mean “I’ll explain something to you in my words, now you describe it back to me so I can evaluate whether the right message came across”. Helpful exercise if you’re honing a pitch, because first listen understanding is key
- thih9 4y ago> modify python script to make it multithreaded (when this worked first go I was very mindblown) Sounds intriguing, could you elaborate? Which gpt did you use? What was the input like and what did the gpt produce?
- WASDx 4y agoI did this already with Codex in the playground, definitely works for ChatGPT as well. Just paste code and tell it to make a loop run in parallel with X threads. I've had it produce code using either multiprocessing or asyncio.
- ricklamers 4y agoThis was on the first release of ChatGPT so I guess GPT-3.5. Pretty much like WASDx describes. In my case it was even more meta because I was writing a script that was making ChatGPT API calls. It’s an I/O network call so it was fairly easy to rewrite as a multithreaded generator loop, which it got right on the first go. Nice speedup of about 10X, I imagine right about up to the API rate limit.